• 제목/요약/키워드: Group Classification Method

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마찰계수의 비접촉 추정을 위한 영상정보 활용방법 (Utilizing Visual Information for Non-contact Predicting Method of Friction Coefficient)

  • 김두규;김자영;이지홍;최동걸;권인소
    • 대한전자공학회논문지SP
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    • 제47권4호
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    • pp.28-34
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    • 2010
  • 본 논문에서는 마찰계수의 비접촉 추정을 위한 영상정보 활용방법을 제안한다. 마찰계수는 이동체의 도로주행 또는 장애물 극복에 있어 매우 중요한 요소이다. 이동체가 이동경로의 마찰계수를 미리 알 수 있다면 이동성향상을 기대할 수 있다. 본 논문의 마찰계수 추정방법은 영상정보를 활용하기 때문에 이동체가 지면과 접촉하기 전에 마찰계수를 추정 할 수 있다는 장점이 있다. 마찰계수의 비접촉 추정을 위한 영상정보 활용방법은 마찰계수측정실험과 물질그룹생성을 포함한 학습단계와 물질그룹 분류과정과 마찰계수 함수 활용을 포함한 마찰계수 추정단계로 구성되어 있으며 물질 조성비를 생성하는 영상처리는 두 단계에 모두 포함된다. 이 과정을 통해 얻은 마찰계수는 무인이동로봇이 이동경로 진입 전에 미끄러움을 판단하여 미끄럼지역을 회피 할 수 있도록 하며, 저속으로 이동이 가능한 경우 미끄럼이 발생하지 않는 적정속도를 계산하는데 확용 가능하다. 본 논문에서 사용한 지형의 마찰계수와 영상정보는 마찰계수 측정실험을 통해 취득하였다. 마찰계수 추정방법을 평가하기 위해 실험지형의 실제 마찰계수와 추정 마찰계수의 차이를 비교하였다.

Mastitis Detection by Near-infrared Spectra of Cows Milk and SIMCA Classification Method

  • Tsenkova, R.;Atanassova, S.
    • 한국근적외분광분석학회:학술대회논문집
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    • 한국근적외분광분석학회 2001년도 NIR-2001
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    • pp.1248-1248
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    • 2001
  • Mastitis is a major problem for the global dairy industry and causes substantial economic losses from decreasing milk production and considerable compositional changes in milk, reducing milk quality. The potential of near infrared (NIR) spectroscopy in the region from 1100 to 2500nm and chemometric method for classification to detect milk from mastitic cows was investigated. A total of 189 milk samples from 7 Holstein cows were collected for 27 days, consecutively, and analyzed for somatic cells (SCC). Three of the cows were healthy, and the rest had mastitis periods during the experiment. NIR transflectance milk spectra were obtained by the InfraAlyzer 500 spectrophotometer in the spectral range from 1100 to 2500nm. All samples were divided into calibration set and test set. Class variable was assigned for each sample as follow: healthy (class 1) and mastitic (class 2), based on milk SCC content. The classification of the samples was performed using soft independent modeling of class analogy (SIMCA) and different spectral data pretreatment. Two concentration of SCC - 200 000 cells/ml and 300 000 cells/ml, respectively, were used as thresholds fer separation of healthy and mastitis cows. The best detection accuracy was found for models, obtained using 200 000 cells/ml as threshold and smoothed absorbance data - 98.41% from samples in the calibration set and 87.30% from the samples in the independent test set were correctly classified. SIMCA results for classes, based on 300 000 cells/ml threshold, showed a little lower accuracy of classification. The analysis of changes in the loading of first PC factor for group of healthy milk and group of mastitic milk showed, that separation between classes was indirect and based on influence of mastitis on the milk components. The accuracy of mastitis detection by SIMCA method, based on NIR spectra of milk would allow health screening of cows and differentiation between healthy and mastitic milk samples. Having SIMCA models, mastitis detection would be possible by using only DIR spectra of milk, without any other analyses.

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초중등학생 대상 알고리즘 교육을 위한 분류체계 모형 설계 (Classification System Model Design for Algorithm Education for Elementary and Secondary Students)

  • 이영호;구덕회
    • 정보교육학회논문지
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    • 제21권3호
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    • pp.297-307
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    • 2017
  • 본 연구의 목적은 초중등학생 대상 알고리즘 교육을 위한 알고리즘 분류체계를 제안하는 것이다. 연구자는 알고리즘의 구성요소를 정의하고, 분석합성식 방법으로 알고리즘 분류체계를 표현하였다. 연구의 내용은 다음과 같다. 첫째, 분류의 목적과 분류의 종류에 대한 이론적인 탐색을 실시하였다. 둘째, 기존에 제안된 알고리즘 내용에 대한 분류체계의 내용과 그 한계에 대해 살펴보았다. 이와 더불어 알고리즘 교육 연구에서 사용되었던 알고리즘 교육 내용 및 선정 기준에 대해 살펴보았다. 셋째, 알고리즘의 분류를 위해 알고리즘 구성요소를 NRC에서 제시한 핵심 아이디어와 관통 개념을 사용하여 재정의하였다. 그리고 알고리즘 관통 개념을 디자인 구조와 자료구조로 세분화하여 그 내용을 제시하였으며, 이 내용을 분석합성식 분류체계를 사용하여 표현하였다. 마지막으로 전문가 집단의 검토를 통해 제안한 내용에 대한 타당도를 검증하였다. 알고리즘 분류체계에 대한 연구는 알고리즘 교육에 있어 내용 선정 및 교육 방법에 많은 시사점을 제공할 것으로 기대한다.

지수치를 이용한 노년 여성의 상반신 체형 분류와 판별에 관한 연구 (Upper Body Somatotype Classification and Discrimination of Elderly Women according to Index)

  • 김수아;최혜선
    • 한국의류학회지
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    • 제28권7호
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    • pp.983-994
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    • 2004
  • The aim of this study is to provide fundamental data on the development of ready-to-wear clothes appropriate for the body types of elderly women. The study was conducted targeting 318 elderly women over 60 years of age whose fields of action were colleges for the elderly, sports centers, or business sites in Seoul and the neighboring districts. A total of 44 features in the upper body were used for the anthropometric measurement and analysis using anthropometry and photometry. The results of the study are as follows: 1. Somatotypes were classified into three types according to a cluster analysis using height and weight indices. Type 1 is the group with long and undersized upper body and straight body type since the face of the upper body is long relative to height and width, girth and depth are the smallest relative to weight, the breasts are somewhat fat, with a small extent of drooping and a straight back. Type 2 is the group that is considered fat relative to the body, has broad shoulders, drooping breasts with a wide space between them, and a back-bent upper body. Type 3 is the group that has a bent shape, the shortest upper body relative to height, and showing average obesity factors. 2. Indices of height and weight were used for factor analysis, cluster analysis, and discriminant analysis in order to classify upper body somatotype according to shape while excluding size factors of elderly women's upper body somatotype. The same method was used to compare and verify the result according to the absolute measurement and height index. Classification based on height and weight indices demonstrate that such somatotype classification minimizes the personal equation of body shape and it induces better classification based on shape as the results showed the highest cumulative sum of square(CUSUM) at 78.38% while six factors showed the smallest result and the hit rate for the classified three groups showed the highest result at 95.30%.

Evaluation of the 7th UICC TNM Staging System of Gastric Cancer

  • Kwon, Sung-Joon
    • Journal of Gastric Cancer
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    • 제11권2호
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    • pp.78-85
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    • 2011
  • Since January of 2010, the seventh edition of UICC tumor node metastasis (TNM) Classification, which has recently been revised, has been applied to almost all cases of malignant tumors. Compared to previous editions, the merits and demerits of the current revisions were analyzed. Many revisions have been made for criteria for the classification of lymph nodes. In particular, all the cases in whom the number of lymph nodes is more than 7 were classified as N3 without being differentiated. Therefore, the coverage of the N3 was broad. Owing to this, there was no consistency in predicting the prognosis of the N3 group. By determining the positive cases to a distant metastasis as TNM stage IV, the discrepancy in the TNM stage IV compared to the sixth edition was resolved. In regard to the classification system for an esophagogastric (EG) junction carcinoma, it was declared that cases of an invasion to the EG junction should follow the classification system for esophageal cancer. A review of clinical cases reported from Asian patients suggests that it would be more appropriate to follow the previous editions of the classification system for gastric cancer. In addition, in the classification of the TNM stages in the overall cases, the discrepancy in the prognosis between the different stages and the consistency in the prognosis between the same TNM stages were achieved to a lesser extent as compared to that previously. Accordingly, further revisions are needed to develop a purposive classification method where the prognosis can be predicted specifically to each variable and the mode of the overall classification can be simplified.

몽고인(蒙古人)을 위한 사상체질분류검사지(四象體質分類檢査紙)의 신뢰도(信賴度) 연구(硏究) (A Study on the Reliability of the Questionnaire about Sasang Constitution Classification for Mongolians)

  • 김경수;이수경;신현규;고병희;송일병;이의주
    • 사상체질의학회지
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    • 제18권2호
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    • pp.96-112
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    • 2006
  • 1. Objectives This study focuses on the reliability of the Questionnaire about Sasang Constitution Classification for Mongolians 2. Methods Test-retest method and internal consistency method have been performed based on the absolutely diagnosed group of 87 cases who respond to the questionaries during the time interval of one yeat between July 2003 and July 2004 to verify the confidence level. 3. Results and Conclusions (1) In the test-retest for each question of the Questionnaire of Sasang Constitution Classification for Mongolians, the dependency ratio is 40% and the agreement ratio is 92%. Therefore, this questionnaire has credibility because it has question relations and high agreement ratio. (2) In the internal consistency method for the measure of the Questionnaire of Sasang Constitution Classification for Mongolians, the value of Cronbach alpha is mote than 0.60. As a result, this questionnaire has internal consistency for each question which explains each physical constitution and it has credibility (3) In the internal consistency method for the measure of the Questionnaire of Sasang Constitution Classification for Mongolians, the Pearson's correlation coefficient, r, falls between $+0.38\;{\sim}\;+0.54$ in each measure. Accordingly, this questionnaire has internal consistency between each physical constitution measure and it has credibility.

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응급실의 환자분류체계 확립을 위한 결정지표 개발 연구 (The Study of Critical Indicators Development for Establishing Patient Classification System in the ER)

  • 성영희;성일순;이승자;김정하;문유정;최영미;이지향
    • 간호행정학회지
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    • 제12권3호
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    • pp.444-453
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    • 2006
  • Purpose: The purpose of the study was to identify critical indicators for the development of efficient patient classification system in a emergency room. Method: This study involved following five steps. Step 1. Selection of the lists direct nursing services in the ER. Step 2. Measurement of the time of direct nursing services from Aug. 31st to Nov. 30th, 2005. Step 3. Classification of the patients according to the nursing care time. Step 4. The determination the critical indicators for different patient classes. Result: Determinate indicators were as follow: 3 items in the first group (vital sign checking, IV route starting, blood sampling), 3 items in the second group (vital sign checking, fluid infusion, blood sampling), 9 items in the third group (I/O checking, $O_{2}$ inhalation, suction, fluid infusion, IV bolus, Central catheter preparation & management, blood sampling, intubation preparation & management, postmortem management), 7 items in the fourth group (EKG monitoring, BP monitoring, $O_{2}$ inhalation, fluid infusion, using the specific drugs, CPR, postmortem management). Conclusion: This study can help future studies which measure nursing services standard time or assigns value to emergency nursing services.

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요양병원 입원노인의 환자군 분류에 따른 자원이용수준 (Resource use of the Elderly in Long-term Care Hospital sing RUG-III)

  • 김은경
    • 대한간호학회지
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    • 제33권2호
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    • pp.275-283
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    • 2003
  • Purpose: This study was to classify elderly in long-term care hospitals for using Resource Utilization Group(RUG-III) and to consider feasibility of payment method based on RUG-III classification system in Korea. Method: This study designed by measuring resident characteristics using the Resident Assessment Instrument-Minimum Data Set(RAI-MDS) and staff time. The data were collected from 382 elderly over sixty-year old, inpatient in the five long-term care hospitals. Staff time was converted into standard time based on the average wage of nurse and aids. Result: The subjects were classified into 4 groups. The group of Clinically Complex was the largest(46.3%), Reduced Physical Function(27.2%), Behavior Problem(17.0%), and Impaired Cognition(9.4%). The average resource use for one resident in terms of care time(nurses, aids) was 183.7 minutes a day. Relative resource use was expressed as a case mix index(CMI) calculated as a proportion of mean resource use. The CMI of Clinically Complex group was the largest(1.10), and then Reduced Physical Function(0.93), Behavior Problem(0.93), and Impaired Cognition(0.83) followed. The difference of the resource use showed statistical significance between major groups(p<0.0001). Conclusion: The results of this study showed that the RUG-III classification system differentiates resources provided to elderly in long-term care hospitals in Korea.

한국의 장기요양서비스에 대한 RUG-III의 적용가능성 (On the Feasibility of a RUG-III based Payment System for Long-Term Care Facilities in Korea)

  • 김은경;박하영;김창엽
    • 대한간호학회지
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    • 제34권2호
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    • pp.278-289
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    • 2004
  • Purpose: The purpose of this study was to classify the elderly in long-term care facilities using the Resource Utilization Group(RUG-III) and to examine the feasibility of a payment method based on the RUG-III classification system in Korea. Method: This study measured resident characteristics using a Resident Assessment Instrument-Minimum Data Set(RAI-MDS) and staff time. Data was collected from 530 elderly residents over sixty, residing in long-term care facilities. Resource use for individual patients was measured by a wage-weighted sum of staff time and the total time spent with the patient by nurses, aides, and physiotherapists. Result: The subjects were classified into 4 groups out of 7 major groups. The group of Clinically Complex was the largest (46.3%), and then Reduced Physical Function(27.2%), Behavior Problems (17.0%), and Impaired Cognition (9.4%) followed. Homogeneity of the RUG-III groups was examined by total coefficient of variation of resource use. The results showed homogeneity of resource use within RUG-III groups. Also, the difference in resource use among RUG major groups was statistically significant (p<0.001), and it also showed a hierarchy pattern as resource use increases in the same RUG group with an increase of severity levels(ADL). Conclusion: The results of this study showed that the RUG-Ill classification system differentiates resources provided to elderly in long-term care facilities in Korea.

지능적인 웹문서 분류를 위한 구조 및 프로세스 설계 연구 (A Study on Building Structures and Processes for Intelligent Web Document Classification)

  • 장영철
    • 디지털융복합연구
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    • 제6권4호
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    • pp.177-183
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    • 2008
  • This paper aims to offer a solution based on intelligent document classification to create a user-centric information retrieval system allowing user-centric linguistic expression. So, structures expressing user intention and fine document classifying process using EBL, similarity, knowledge base, user intention, are proposed. To overcome the problem requiring huge and exact semantic information, a hybrid process is designed integrating keyword, thesaurus, probability and user intention information. User intention tree hierarchy is build and a method of extracting group intention between key words and user intentions is proposed. These structures and processes are implemented in HDCI(Hybrid Document Classification with Intention) system. HDCI consists of analyzing user intention and classifying web documents stages. Classifying stage is composed of knowledge base process, similarity process and hybrid coordinating process. With the help of user intention related structures and hybrid coordinating process, HDCI can efficiently categorize web documents in according to user's complex linguistic expression with small priori information.

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